Intelligent image processing for enterprise applications

ABSTRACT

Techniques are described for processing an electronic image for presentation in a display of an enterprise application according to a format for presenting electronic image in the enterprise application. A format for an enterprise application may indicate display attributes such as an aspect ratio, a frame size, a resolution, or the like. The format for presenting an electronic image may correspond to a type of an enterprise application, a function of an enterprise application, a feature of an enterprise application, one or more subjects of the electronic image, other criteria associated with an enterprise application, or a combination thereof. These techniques may enable an electronic image to be adjusted for presentation in enterprise applications that have different formats. Users may benefit by not having to provide an electronic image adjusted to the different formats, thereby enabling a single electronic image to be used for a variety of enterprise applications.

TECHNICAL FIELD

The present disclosure relates to image processing for enterpriseapplications. Specifically, various techniques and systems are describedfor processing an image for display in an enterprise application.

BACKGROUND

Generally, computer software, such as enterprise applications, may bedesigned for use by organizations (e.g., enterprises), rather thanindividual users or consumers. Whereas consumer applications (e.g.,email applications, social media applications, etc.) may be tailoredtowards consumer-related services and features, enterprise applicationsmay provide business-oriented features and tools (e.g., employeemanagement, customer relationship management, operations management,inventory management, business procurement, or the like) for managementof an enterprise. Among enterprise applications, information may bepresented in many different formats, often times to serve a diverseaudience of user roles. For example, an enterprise application foremployee management may provide information about employees in anorganization. The information about employees may be presented indifferent formats. In another example, an enterprise application maypresent information about different items in a business's inventory. Ineach case, the format for presenting electronic images may vary tooptimally serve the needs of particular user roles.

Often times, an original format of the electronic images presented in anenterprise application may have attributes that match a format (e.g.,aspect ratio, frame size, resolution, or the like) by which theapplication presents electronic image. In some cases, when electronicimages are presented in their original format, the person, place, orobject in the electronic images may not be adequately formatted or maynot appear distinguishable by a person when displayed by the enterpriseapplication. As such, users of enterprise applications may be burdenedby having to modify electronic images to satisfy the criteria ofdifferent enterprise applications. Providers of enterprise applicationsmay be equally challenged by having to present electronic images thatcan be formatted according to the criteria of each enterpriseapplication. For example, an enterprise user might upload an image thatis in a 4:3 aspect ratio, when the application requires the image to bein a 6:4 aspect ratio.

BRIEF SUMMARY

Techniques are described for processing an electronic image forpresentation in a display of an enterprise application according to aformat for presenting electronic images in the enterprise application. Aformat for an enterprise application may indicate display attributessuch as an aspect ratio, a frame size, a resolution, or the like. Theformat for presenting an electronic image may correspond to a type of anenterprise application, a function of an enterprise application, afeature of an enterprise application, one or more subjects of theelectronic image, other criteria associated with an enterpriseapplication, or a combination thereof. The techniques may enable anelectronic image to be adjusted for presentation in enterpriseapplications that have different formats. Users may benefit by nothaving to provide an electronic image adjusted to the different formats,thereby enabling a single electronic image to be used for a variety ofenterprise applications. Although techniques disclosed herein may bedescribed as being performed for enterprise applications, may beimplemented for other types of computing applications, which displayimages.

In some embodiments, the original electronic image may be adjusted bycropping content in the electronic image. An electronic image may becropped to extract a portion of the content in the electronic imagerelated to a person, place, or object in the image. For example, anelectronic image of a person may be cropped to obtain the contentassociated with the person and to remove a portion of the background inthe electronic image. While cropping the original electronic image, theattributes of the original electronic image may be maintained to preventimpairment or distortion of the content in the cropped electronic image,such that the content, when rendered, may not be adequately formatted ormay not appear distinguishable. Various methods may be employed toremove or crop content from an electronic image. Such methods may beimplemented using image processing services, processing libraries (e.g.,OpenCV and SimpleCV), image processing techniques, or a combinationthereof. In some embodiments, image classifiers (e.g., facialclassifiers and Haar classifiers) or object classifiers may be used torecognize content presented by an electronic image, such as a person,place, or object in an electronic image. The recognized content may becropped from an original electronic image.

An electronic image may be adjusted to satisfy the attributes of aformat for presenting electronic images in an enterprise application. Insome embodiments, an electronic image may be adjusted for a frame sizecorresponding to a format of an enterprise application while enablingother attributes of the image to remain unchanged. For example, acropped electronic image may be resized to a different frame size tosatisfy a format for an application, while an aspect ratio of the imagemay remain unchanged. In some embodiments, an electronic image may bescaled such that its frame size and its aspect ratio are both adjustedto satisfy a format. The electronic image can be adjusted in a varietyof ways including adjustments to attributes that may satisfy a format ofan enterprise application. Such techniques for adjustment of anelectronic image may be implemented using image processing services,processing libraries (e.g., OpenCV and SimpleCV), image processingtechniques, or a combination thereof. In some embodiments, an electronicimage may be cropped to remove multiple portions of an originalelectronic image for presentation in an enterprise application. Forexample, an electronic image of a group of people may be cropped toextract a cropped electronic image of each person. Each of the croppedimages may be adjusted for individual presentation in an application.

Techniques for adjusting an electronic image according to a format foran enterprise application may reduce a burden on users and providers ofthe enterprise application to produce different images for differententerprise applications. For example, in business applications (e.g.,inventor management or employee management) that may present manyimages, the techniques disclosed herein may enable a single electronicimage including content of different people, places, and/or objects tobe adjusted and presented according to different formats. Changes in amanner of presentation or an application environment may be accommodatedaccordingly to adjustments satisfying criteria and/or format forpresentation. Processing may be reduced by storing adjusted electronicimages in different formats so that they may be retrieved for subsequentpresentation according to one or more attributes of the stored images.

According to at least one example, techniques may be provided that canbe implemented by a computing system or a computing device. Thecomputing system may include one or more processors and one or morememory devices coupled with and readable by one or more processors. Theone or more memory devices may store a set of instructions which, whenexecuted by the one or more processors, cause the one or more processorsto perform the techniques disclosed herein. The techniques can include acomputer-implemented method, which includes receiving a request tooperate an enterprise application of a plurality of enterpriseapplications. Each of the plurality of enterprise applications may beassociated with criteria for presenting an electronic image in thecorresponding enterprise application. The method further includesreceiving an original electronic image to present in the requestedenterprise application. The method further includes determining anadjustment of the original electronic image for presentation in therequested enterprise application. The adjustment may be determined usingcriteria associated with the requested enterprise application. Themethod further includes generating an adjusted electronic image topresent in the requested enterprise application. The adjusted electronicimage may be generated using the determined adjustment. The methodfurther includes enabling presentation of the adjusted electronic imagein the requested enterprise application during operation of therequested enterprise application.

This summary is not intended to identify key or essential features ofthe claimed subject matter, nor is it intended to be used in isolationto determine the scope of the claimed subject matter. The subject mattershould be understood by reference to appropriate portions of the entirespecification of this patent, any or all drawings, and each claim.

The following detailed description together with the accompanyingdrawings will provide a better understanding of the nature andadvantages of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

Illustrative embodiments of the present invention are described indetail below with reference to the following drawing figures:

FIG. 1 shows a block diagram of a computing system that can performintelligent image processing for enterprise applications according tosome embodiments of the present invention.

FIG. 2 shows a block diagram of a computing system that can performintelligent image processing for enterprise applications according tosome embodiments of the present invention.

FIGS. 3-9 show various examples of intelligent image processing forenterprise applications according to some embodiments of the presentinvention.

FIG. 10 is a flowchart illustrating a process to perform intelligentimage processing for an enterprise application according to someembodiments of the present invention.

FIG. 11 depicts a simplified diagram of a distributed system forimplementing one of the embodiments.

FIG. 12 shows a simplified block diagram of components of a systemenvironment by which services provided by the components of anembodiment system may be offered as cloud services, in accordance withan embodiment of the present disclosure.

FIG. 13 illustrates an exemplary computer system, in which variousembodiments of the present invention may be implemented.

DETAILED DESCRIPTION

In the following description, for the purposes of explanation, numerousspecific details are set forth in order to provide a thoroughunderstanding of various embodiments of the present invention. It willbe apparent, however, to one skilled in the art that embodiments of thepresent invention may be practiced without some of these specificdetails. In other instances, well-known structures and devices are shownin block diagram form.

Specific details are given in the following description to provide athorough understanding of the embodiments. However, it will beunderstood by one of ordinary skill in the art that the embodiments maybe practiced without these specific details. For example, circuits,systems, networks, processes, and other components may be shown ascomponents in block diagram form in order not to obscure the embodimentsin unnecessary detail. In other instances, well-known circuits,processes, algorithms, structures, and techniques may be shown withoutunnecessary detail in order to avoid obscuring the embodiments.

Also, it is noted that individual embodiments may be described as aprocess which is depicted as a flowchart, a flow diagram, a data flowdiagram, a structure diagram, or a block diagram. Although a flowchartmay describe the operations as a sequential process, many of theoperations can be performed in parallel or concurrently. In addition,the order of the operations may be re-arranged. A process is terminatedwhen its operations are completed, but could have additional steps notincluded in a figure. A process may correspond to a method, a function,a procedure, a subroutine, a subprogram, etc. When a process correspondsto a function, its termination can correspond to a return of thefunction to the calling function or the main function.

The term “machine-readable storage medium” includes, but is not limitedto, portable or non-portable storage devices, optical storage devices,and various other mediums capable of storing, containing, or carryinginstruction(s) and/or data. A machine-readable medium may include anon-transitory medium in which data can be stored and that does notinclude carrier waves and/or transitory electronic signals propagatingwirelessly or over wired connections. Examples of a non-transitorymedium may include, but are not limited to, a magnetic disk or tape,optical storage media such as compact disk (CD) or digital versatiledisk (DVD), flash memory, memory or memory devices. A computer-programproduct may include code and/or machine-executable instructions that mayrepresent a procedure, a function, a subprogram, a program, a routine, asubroutine, a module, a software package, a class, or any combination ofinstructions, data structures, or program statements. A code segment maybe coupled to another code segment or a hardware circuit by passingand/or receiving information, data, arguments, parameters, or memorycontents. Information, arguments, parameters, data, etc. may be passed,forwarded, or transmitted via any suitable means including memorysharing, message passing, token passing, network transmission, etc.

Furthermore, embodiments may be implemented by hardware, software,firmware, middleware, microcode, hardware description languages, or anycombination thereof. When implemented in software, firmware, middlewareor microcode, the program code or code segments to perform the necessarytasks (e.g., a computer-program product) may be stored in amachine-readable medium. A processor(s) may perform the necessary tasks.

Systems depicted in some of the figures may be provided in variousconfigurations. In some embodiments, the systems may be configured as adistributed system where one or more components of the system aredistributed across one or more networks in a cloud computing system.

Techniques are described for processing an electronic image forpresentation in a display of an enterprise application according to aformat for presenting electronic images in the enterprise application. Aformat for an enterprise application may indicate display attributessuch as an aspect ratio, a frame size, a resolution, or the like. Theformat for presenting an electronic image may correspond to a type of anenterprise application, a function of an enterprise application, afeature of an enterprise application, one or more subjects of theelectronic image, other criteria associated with an enterpriseapplication, or a combination thereof. The techniques may enable anelectronic image to be adjusted for presentation in enterpriseapplications that have different formats. Users may benefit by nothaving to provide an electronic image adjusted to the different formats,thereby enabling a single electronic image to be used for a variety ofenterprise applications. Although techniques disclosed herein may bedescribed as being performed for enterprise applications, may beimplemented for other types of computing applications, which displayimages.

In some embodiments, the original electronic image may be adjusted bycropping content in the electronic image. An electronic image may becropped to extract a portion of the content in the electronic imagerelated to a person, place, or object in the image. For example, anelectronic image of a person may be cropped to obtain the contentassociated with the person and to remove a portion of the background inthe electronic image. While cropping the original electronic image, theattributes of the original electronic image may be maintained to preventimpairment or distortion of the content in the cropped electronic image,such that the content, when rendered, may not be adequately formatted ormay not appear distinguishable. Various methods may be employed toremove or crop content from an electronic image. Such methods may beimplemented using image processing services, processing libraries (e.g.,OpenCV and SimpleCV), image processing techniques, or a combinationthereof. In some embodiments, image classifiers (e.g., facialclassifiers and Haar classifiers) or object classifiers may be used torecognize content presented by an electronic image, such as a person,place, or object in an electronic image. The recognized content may becropped from an original electronic image.

An electronic image may be adjusted to satisfy the attributes of aformat for presenting electronic images in an enterprise application. Insome embodiments, an electronic image may be adjusted for a frame sizecorresponding to a format of an enterprise application while enablingother attributes of the image to remain unchanged. For example, acropped electronic image may be resized to a different frame size tosatisfy a format for an application, while an aspect ratio of the imagemay remain unchanged. In some embodiments, an electronic image may bescaled such that its frame size and its aspect ratio are both adjustedto satisfy a format. The electronic image can be adjusted in a varietyof ways including adjustments to attributes that may satisfy a format ofan enterprise application. Such techniques for adjustment of anelectronic image may be implemented using image processing services,processing libraries (e.g., OpenCV and SimpleCV), image processingtechniques, or a combination thereof. Image processing services mayinclude, for example, Vuforia™ (a service of Qualcomm, Inc.) or TinEye™(a service of Idée Inc.). In some embodiments, an electronic image maybe cropped to remove multiple portions of an original electronic imagefor presentation in an enterprise application. For example, anelectronic image of a group of people may be cropped to extract acropped electronic image of each person. Each of the cropped images maybe adjusted for individual presentation in an application.

Techniques for adjusting an electronic image according to a format foran enterprise application may reduce a burden on users and providers ofthe enterprise application to produce different images for differententerprise applications. For example, in business applications (e.g.,inventor management or employee management) that may present manyimages, the techniques disclosed herein may enable a single electronicimage including content of different people, places, and/or objects tobe adjusted and presented according to different formats. Changes in amanner of presentation or an application environment may be accommodatedaccordingly to adjustments satisfying criteria and/or format forpresentation. Processing may be reduced by storing adjusted electronicimages in different formats so that they may be retrieved for subsequentpresentation according to one or more attributes of the stored images.

FIG. 1 shows a block diagram of a computing system 100 that can performintelligent image processing for enterprise application according to oneembodiment of the present invention. Specifically, the computing system100 may determine a format for presenting electronic images in anenterprise application and can perform image processing with respect toelectronic images to enable presentation of the image in the applicationcorresponding to the format.

As disclosed herein, an electronic image (e.g., a digital image) mayinclude data (e.g., numeric data) representing a multi-dimensional(e.g., two-dimensional) image. An image may represent an artifact (e.g.,a photograph) that depicts or visually renders, among others, a subjectincluding one or more of any of the following: a physical object, anenvironment, a place or location, a person, and/or a living thing (e.g.,a domestic animal, a wild animal, or the like). A physical object mayinclude a good (e.g., an item of manufacture), a physical structure(e.g., a building or a room), or other tangible physical object. Forpurposes of illustration, specific embodiments are described herein fortechniques for intelligent processing of images of people. Someembodiments, although described as being performed using images ofpeople, may be performed using electronic images of an artifact relatedto any subject matter. The intelligent image processing techniquesdisclosed herein enable dynamic presentation of electronic images incomputer software applications such that they can be rendered orvisually perceived by a person.

For purposes of illustration, various examples are provided herein todescribe techniques for image processing to present electronic images indifferent types of enterprise applications. Presenting a singleelectronic image (e.g., an original electronic image) in differententerprise applications according to a different format may posechallenges. In some instances, attributes (e.g., aspect ratio, framesize, or the like) of an electronic image may not meet the attributes ofa format (e.g., criteria) for presenting the electronic image in anenterprise application. Different applications may present an electronicimage differently, each application supporting a format that has certainattributes, e.g., a frame size and aspect ratio. For example, oneenterprise application for presenting an employee profile may have aformat for presenting an original electronic image of a person in theprofile, and another enterprise application for an employee directorymay have a different format for presenting the original electronic imageof the person. Although the present disclosure describes presentation ofelectronic images and applications, such descriptions are meant toinclude displaying or rendering of the electronic images andapplications.

The attributes in a format for presenting an electronic image in anenterprise application can be based on criteria, which may vary betweendifferent enterprise applications that may be presenting the sameelectronic image. The attributes of a format may correspond to a type offunction or feature provided by an enterprise application and/or a typeof the enterprise application in which the electronic image is shown.The attributes may include criteria indicating a manner (e.g., a format)for displaying the electronic images to prevent or reduce rendering orperception of the electronic images during their presentation. Forinstance, the criteria may be based on factors such as a type ofelectronic image to be displayed in the application and/or a type of theapplication. Because of these differences, among others, an electronicimage presented as is within an enterprise application without furtherimage processing may appear different, often times rendered improperlyor unable to be perceived in some enterprise applications. As a result,a subject or the electronic images may not be adequately formatted ormay not appear distinguishable.

Some examples including those in FIGS. 3-9 will be illustrated anddescribed below to show ways in which an original electronic image maybe processed to be presented in different enterprise applicationsaccording to different formats. Electronic images can be dynamicallyadjusted for presentation such that they may be rendered or visuallyperceived in an enterprise application consistent with attributes of aformat for the enterprise application. An electronic image may beadjusted accordingly for an enterprise application to prevent a qualityof the electronic image from being lost due to incompatibility with theformat corresponding to an enterprise application. Although examples aredescribed with reference to enterprise applications, the disclosedtechniques may be equally applied to consumer applications that may varyin the attributes and/or criteria for presenting electronic images. Thetechniques for image processing disclosed herein may be useful forenhancing image processing for consumer applications that have differentrequirements for presenting electronic images.

Now turning to FIG. 1, the computing system 100 may include a clientsystem 102 and an image processing system 130. The client system 102 andthe image processing system 130 can communicate with each other via anetwork (not shown). The network can be, for example, the Internet, amobile network, a wireless network, a cellular network, a local areanetwork (LAN), a wide area network (WAN), other communication networks,or a combination thereof. In some embodiments, the image processingsystem 130 and the client system 102 may be included in a singlecomputing system. It should be appreciated that various different systemconfigurations are possible, which may be different from the computingsystem 100.

Some embodiments shown in FIG. 1 are examples of a computing system forimplementing an embodiment system and is not intended to be limiting.Techniques disclosed herein, may be performed by the client system 102,the image processing system 130, any other computing system, or acombination thereof. For purposes of illustration, some embodiments aredescribed as being performed by the image processing system 130. Theimage processing system 130 can process an electronic image (e.g., anoriginal electronic image) to determine an adjustment for adjusting theelectronic image for presentation in different enterprise applications.The adjustment may be determined based on attributes corresponding to aformat for presenting images in an application. The format forpresenting an electronic image may vary between applications. Asexplained above, the format can be based on content of an electronicimage and/or criteria associated with the application for displaying anelectronic image. The image processing system 130 may use the adjustmentto determine an adjusted electronic image that can be presented in theapplication instead of an original electronic image.

The client system 102 (e.g., “a client”) may be a computing systemimplemented in hardware, firmware, software, or combinations thereof. Auser can operate the client system 102 to communicate a request, e.g., arequest 104, to the server computing system 130. The client system 102can receive responses (e.g., a response 106) from the image processingsystem 130. The client system 102 can include or be implemented as anendpoint, a personal digital assistant (PDA), a tablet computer, alaptop computer, a desktop computer, a wearable computer, a pager, etc.The client system 102 can include one or more memory storage devices andone or more processors. A memory storage device can be accessible to theprocessor(s) and can include instructions stored thereon which, whenexecuted by the processor(s), cause the processor(s) to implement one ormore operations, methods, or processes disclosed herein. In variousembodiments, the client system 102 may be configured to execute andoperate one or more applications such as a web browser, a clientapplication, a proprietary client application, or the like. The clientapplications may be accessible or operated via one or more network(s).In some embodiments, the client system 102 can be associated with orimplemented in the image processing system 130.

The image processing system 130 may be a computing system implemented inhardware, firmware, software, or combinations thereof. The imageprocessing system 130 may include one or more memory storage devices andone or more processors. A memory storage device can be accessible to theprocessor(s) and can include instructions stored thereon which, whenexecuted by the processor(s), cause the processor(s) to implement one ormore operations, methods, or processes disclosed herein. For example,the image processing system 130 can include or be implemented as one ormore computing devices, such as a computing device 132. The computingdevice 132 can include one or more of any type of computing device, suchas a laptop computer, a desktop computer, a tablet computing device, aserver computer, or the like. The computing device 132 can communicatewith client systems, e.g., the client system 102, to receive therequests 104 and to provide the responses 106. In various embodiments,the image processing system 130 may be configured to execute and operateone or more applications such as a web browser, a client application, aproprietary client application, or the like. The applications may beaccessible or operated via one or more network(s). In some embodiments,the image processing system 130 can be associated with or implementedwith the client system 102.

The computing system 100 may enable an electronic image to be adjustedfor presentation in different types of applications (e.g., an enterpriseapplication 110, an enterprise application 120, and an consumerapplication 190) according to each application's respective format forpresenting electronic images. Enterprise applications may include, amongmany others, business applications, security management applications,productivity applications, organization applications, financialmanagement applications, customer relationship management applications,employee management application, inventory management applications,procurement applications, and/or development applications. Consumerapplications may include, among many others, game applications, socialmedia applications, news applications, and/or communicationapplications. One or more adjusted electronic images may be generated bythe image processing system 130 by performing processing an electronicimage (e.g., an original electronic image). The process of an adjustedelectronic image may include determining an adjustment according to aformat for presentation by an application. The image processing system130 can enable the applications 110, 120, 190 to receive the adjustedimage for presentation in place of an original electronic image.

One or more of the applications 110, 120, 190 may be running on theclient system 102, the image processing system 130, any other computingsystem, or a combination thereof. In some embodiments, one or more ofthe applications 110, 120, 190 can be running on an image processingsystem 130 and can accessed via the client system 102. In the examplesshown in FIG. 1, the applications 110, 120, 190 may be running on theclient system 102. The client system 102 may be in communication withthe image processing system 130.

The client system 102 may communicate a request (e.g., a request 104) tothe image processing system 130 to enable an adjustment of an electronicimage to be presented by one or more of the applications 110, 120, 190.In some embodiments, the request 104 can be generated by an applicationfor which an electronic image to be displayed. The request 104 can becommunicated by the client system 102 to the image processing system130. The request 104 may include, among other data, an electronic image(e.g., an original electronic image) to be adjusted for an application.The request 104 may indicate that a request has been made to operate anenterprise application, a function of an enterprise application, or acombination thereof. Data included in the request 104 may enable theimage processing system 130 to perform process an electronic image todetermine an adjustment for adjusting presentation of an electronicimage by an application. In some embodiments, the data in the request104 may indicate criteria to determine a format for presenting anelectronic image. The criteria may include a type of an application(e.g., business application, employee management application, customerrelationship application, etc.) that has been requested, a function ofan application (e.g., profile display, security profile, organizationchart, etc.) that has been requested, a format (e.g., frame size,resolution, aspect ratio, or the like) for presenting an electronicimage, a subject matter of the electronic image to be adjusted, or acombination thereof. The client system 102 may store a format for eachapplication operated at the client system 102. As such, the clientsystem 102 may provide the format in the request 104.

The image processing system 130 may process an electronic image togenerate an adjusted electronic image that can be presented by anapplication (e.g., the enterprise application 110, the enterpriseapplication 120, and the consumer application 190) according a formatsupported by the application. As a part of the image processing, theimage processing system 130 may determine an adjustment for adjusting anelectronic image for presentation in an application. The imageprocessing system 130 may communicate a response (e.g., the response106) to the client system 102. The response 106 may include theadjustment to the electronic image or an adjusted electronic image. Anapplication may be able to present an adjusted electronic image for anapplication based on the information included in the response 106. Forexample, the response(s) 106 may include an adjusted image 112, anadjusted image 122, and an adjusted image 192, which can be presented bythe enterprise application 110, the enterprise application 120, and theconsumer application 190, respectively.

In some embodiments, the computing system 100 may include one or moredata stores. The data store(s) may include an image store 170, and anapplication format data store 188. The server computing system 130 mayaccess one or more of the data stores 170, 188 to process an electronicimage. The data stores 170, 188 may be implemented using any type ofpersistent storage device, such as a memory storage device or othercomputer-readable storage medium. In some embodiments, one or more ofdata stores 170, 188 can be implemented using a database (e.g., adocument database, a relational database, or other type of database), afile store, or a combination thereof.

The image processing system 130 may include an image adjusting system140 and an application manager 150. The image adjusting system 140 andthe application manager 150 may be configured to determine anadjustment, if necessary, for adjusting presentation of an electronicimage in an application according to a format corresponding to theapplication.

The application manager 150 can manage execution for applications (e.g.,the enterprise application 110, the enterprise application 120, and theconsumer application 190) and their associated functions. Theapplication manager 150 may determine information to enable the imageadjusting system 140 to determine an adjustment for an electronic image.In some embodiments, if not already provided by the request 104, theclient system 102 can determine information about the application thatmay be beneficial for determining whether to adjust an electronic imageand if so, criteria for determining an adjustment. For example, theinformation can indicate a type of an application, a function of anapplication for presenting the electronic image, a format for presentingan electronic image, and/or an electronic image for adjustment. Theinformation determined by the application manager 150 can be provided tothe image adjusting system 140.

The application manager 150 may access information from one or more ofthe data stores 170, 188 for processing an electronic image forpresentation in an application. In some embodiments, the applicationmanager 150 may access the image data store 170 to retrieve one or moreelectronic images 172. An electronic image 172 may be retrieved forprocessing to determine an adjustment for presenting the electronicimage 172 in different applications. For example, the applicationmanager 150 may retrieve an electronic image 172 of a person to presentin different enterprise applications providing information about theperson, such as in a profile. The electronic images 172 may includeelectronic images that have not been adjusted into a format forpresentation into an application. Such images may be considered originalelectronic images, as they have not been adjusted to a presentationformat of an application. The electronic image(s) 172 may have beenreceived from a client system (e.g., the client system 102). In someembodiments, one or more of the electronic images 172 may have beenreceived from a third party source or from another computing device. Theelectronic images 172 can be in any format.

In some embodiments, the application manager 150 may retrieve, from theapplication format data store 188, information that includes one or moreformats (e.g., a template) for presenting an electronic image (e.g., theelectronic image 172) in one or more applications (e.g., the enterpriseapplication 110, the enterprise application 120, or consumer application190). A format may include information, such as attributes, forpresenting an electronic image in the application according to theformat. The attributes may include an aspect ratio, a frame size,scaling information, cropping information, a resolution, or the like. Insome embodiments, information stored in the application format datastore 188 may include one or more default formats for presenting anelectronic image in an application. A default format may includeinformation such as default attributes for presenting an electronicimage in an application.

The application format data store 188 may store information includingcriteria for choosing a format. The criteria may be useful fordetermining a format for to use for image processing of an electronicimage for presentation in an application. The criteria may include atype of an application, a function of an application, content in anelectronic image, and/or other criteria associated with an application.For example, the application manager 150 can choose a particular formatbased on the criteria that are satisfied. The format may be stored inassociated with an application based on the criteria. A format may beused to present electronic images in multiple applications that areassociated with similar or identical criteria.

The image adjusting system 140 may perform processing on an electronicimage chosen for presentation in an application. The electronic imagemay be chosen by the application manager 150. The image adjusting system140 may receive criteria and/or a format for presenting the electronicimage in the application. The processing on the electronic image mayinclude determining an adjustment for presenting the electronic imageaccording to a format selected for the application. Upon determining anadjustment, the image adjusting system 140 may generate an adjustedelectronic image (e.g., the adjusted image 112, the adjusted image 122,or the adjusted image 192). In some embodiments, the image adjustingsystem 140 may store an adjusted electronic image in the image datastore 170. The image data store 170 may store adjusted electronic images174 produced by the image processing system 130. In some embodiments,the adjusted electronic image may be communicated in the response 106 tothe client system 102.

FIG. 2 shows a block diagram of a computing system 200 that can performintelligent image processing for enterprise applications according tosome embodiments of the present invention. Specifically, the computingsystem 200 further describes how intelligent image process may beperformed by an image processing system, e.g., the image processingsystem 130. The image processing system 130 may access one or more webservices that are public, private, and/or public to implement operationsdescribed as being performed by the image processing system 130.

The computing system 200 may include one or more libraries, such as animage processing library 260 for data, executable code, instructions,and/or other executable data to process electronic images. For example,the image processing library 260 may include executable code, such ascomputer vision routines, methods, and/or executable code (e.g., OpenCV262 and SimpleCV 264). In some embodiments, the image processing library260 may be implemented as a data store. Operations described as beingperformed by the computing system 200 may be implemented using theroutines, methods, and/or executable code stored in the image processinglibrary 260.

The computing system 200 may include one or more data stores, such asimage classifiers 280. The image classifiers 280 may include one or moreimage classifiers, such as classifiers for faces (e.g., facialclassifiers 284), human body parts (e.g., an eye, a nose, an ear, or thelike), products, places, buildings, Haar classifiers 282, classifiersfor any tangible object, or a combination thereof. A classifier mayinclude a trained decision classifier. In some embodiments, imageclassifiers 280 may include object classifiers. Haar classifiers 282 mayinclude facial classifiers. One or more of the classifiers in the imageclassifiers data store 188 may include open-source classifiers. In someembodiments, one or more of the data stores 260, 280 can be implementedusing a data base (e.g., a document database, a relational database, orother type of database), a file store, or a combination thereof. Thelibraries 260 and the data stores 280 may be accessible by the imageprocessing system 130.

The application manager 150 of the image processing system 130 mayinclude an image manager 252, a format determiner 254, and an attributeselector 256. The application manager 150 may be responsible forproviding the image adjusting system 140 with an original electronicimage to be adjusted and a format by which the electronic image is to beadjusted. In some embodiments, the application manager 150 may determineattributes that may be used to present an electronic image. Based on theenterprise application making a request (e.g., the request 104) topresent an electronic image, the application manager 150 can determine atype of the enterprise application and its corresponding format.

The image manager 252 may manage and/or identify the electronic imagesto be displayed for an enterprise application. In some embodiments, anelectronic image may be included or identified in the request 104 fromthe client system 102. The information in the request 104 may be used toidentify and retrieve one or more original electronic images 172 fromthe image data store 170. In some embodiments, the image manager 252 maydetermine one or more electronic images to be displayed in an enterpriseapplication based on information indicated by a request (e.g., therequest 104) for an enterprise application. The request 104 may indicateor may include information that can be used to identify a feature of anenterprise application, a function of an enterprise application, and/ora type of enterprise application that is being requested. The imagemanager 252 can determine the electronic images to be displayed based onthe features, functions, and/or enterprise application being requested.For example, a request for a “directory” enterprise application may beused by the image manager 252 to determine that electronic images ofemployees are to be displayed by the enterprise application. Based onthe electronic images to be presented, the image manager 252 canretrieve the original electronic images 172 from the image data store170.

In some embodiments, the image manager 252 may retrieve one or moreadjusted electronic images 174 from the image data store 170. Anadjusted electronic image 174 may be stored in the image data store 170for reuse later for the same application or another application that hasa similar or identical format for presenting electronic images. Anadjusted electronic image 174 may be stored in the image data store 170upon its generation. The image manager 252 may determine an adjustedelectronic image 174 to retrieve based on the electronic images to bedisplayed in an enterprise application. In some embodiments, the imagemanager 252 may store information used to index or locate the electronicimages stored on the image data store 170. The electronic images may bestored in the image data store 170 according to any criteria, includinga type of an application, a feature of an application, a function of anapplication, other information related to an application, or acombination thereof.

The format determiner 254 may determine a format for presenting theelectronic images for display in an application. The electronic imageschosen by the image manager 252 may be adjusted, if necessary based onthe format. The format may be chosen based on a variety of criteriacorresponding to the application. The criteria may include a type of anapplication, a function of an application, a feature of an application,a subject of the electronic image to be displayed, other criteria thataffects how an electronic image is displayed in an application, or acombination thereof. The format determiner 254 may determine the formatbased on information stored in the application format data store 188.The application format data store 188 may store formats for presentingelectronic images in one or more applications. The format determiner 254may search the application format data store 188 to identify a formatbased on satisfaction of criteria associated with each format.

In some embodiments, the information in the request 104 can indicate orcan be used to determine information about an application in which theelectronic image is to be presented. The information about theapplication can indicate a type of an application or a function of anapplication presenting an electronic image. For example, the request 104from the client system 102 may include information such as a type of anapplication and a function of an application, which can be used toselect a format. The information about an application can be used todetermine a format for an application. A default format may be chosenfor an application upon determining that criteria for formats cannot besatisfied. The default format may be chosen based on one or morefactors, such as a type of an application, a function of an application,and/or a subject matter of an electronic image to be displayed.

The attribute selector 256 may determine one or more attributes of anelectronic image to be adjusted for presentation in an enterpriseapplication. The attributes of the electronic image can be compared toattributes of the format to determine attributes that have differentvalues or that do not match. For example, the attribute selector maydetermine an aspect ratio and a frame size of an electronic image andmay compare those attributes to an aspect ratio and a frame size of aformat to determine whether the attributes match. The attributes to beadjusted may include those attributes that do not match or that havedifferent values. The image adjusting system 140 may adjust an originalelectronic image according to the attributes selected by the attributeselector 256. In some embodiments, the attribute selector 256 may selectattributes to be adjusted corresponding to attributes indicated by theformat.

The image adjusting system 140 may generate an adjusted electronic image(e.g., the adjusted electronic image 174). The image adjusting system140 may include an image adjuster 242, and image cropper 244, and anobject recognizer 246. The electronic image (e.g., the originalelectronic image 172) for adjustment may be chosen by the applicationmanager 150. The electronic image may be adjusted based on a formatdetermined by the application manager 150. In some embodiments, theimage adjusting system 140 may adjust an electronic image based on theattributes selected for adjustment.

The image cropper 244 may determine whether to remove content from anelectronic image (e.g., an original electronic image 172) presented foran application. The content can correspond to data in the electronicimage that, when presented, may be unrelated to a subject matterpresented as the electronic image. For example, the image cropper 244may remove a portion of the background depicted of an electronic imageof a person. The image cropper 244 may use various methods, some ofwhich may be described below, as examples for recognizing a person,place, or object in an electronic image. Such techniques may be used todetermine a portion of the electronic image corresponding to a subject(e.g., a person, place, or object) presented by the electronic image.

Upon identifying a subject presented by an electronic image, the imagecropper 244 may use cropping techniques to extract a portion of theelectronic image that contains the subject that is presented when theelectronic image is rendered. In some embodiments, the electronic imagemay be cropped in a manner such that one or more attributes of a croppedportion of the electronic image may remain the same as the attributes ofthe electronic image before the cropping is performed. In this manner,the cropped electronic image may not be rendered such that a subjectpresented is not visible (e.g., distorted or impaired). The croppedelectronic image may be used for the adjustment. By cropping theelectronic image, the electronic image, when presented in an applicationrequesting the electronic image, may enable a subject of the electronicimage to appear adequately formatted or to appear distinguishable.

In some embodiments, the image cropper 244 may determine not to removecontent from an electronic image. For example, the image cropper 244 maydetermine not to remove content when the electronic image has little orno content that is unrelated (e.g., background) to a subject presentedby the electronic image.

The recognizer 246 may identify a subject of an electronic image. Thesubject may be used by the image cropper 244 to determine whether toremove content from the electronic image. The recognizer 246 may performimage recognition and/or classification techniques to recognize asubject of an electronic image. The subject may be recognized using oneor more image classifiers or object classifiers stored in the imageclassifiers data store 280. The subject may include a person, place, orobject in the electronic image. In some embodiments, the recognizer 246may identify multiple subjects in an electronic image. The subjects maybe identified using one or more image classifiers or object classifiers.

The image adjuster 242 may perform image adjustment of an electronicimage (e.g., an original electronic image 172). In some embodiments, theimage adjuster 242 may perform image adjustment based on a croppedelectronic image generated by the image cropper 244. The image adjuster242 may perform image adjustment according to the attributes in theformat chosen for an enterprise application that has been requested. Theimage adjuster 242 may determine attributes of an electronic imagechosen for adjustment and may compare those attributes to the attributesof the format. The comparison may indicate those attributes that do notmatch. In some embodiments, the image adjusted 242 may perform imageadjustment for the attributes selected for adjustment by the applicationmanager.

Depending on the attributes to be adjusted, the image adjuster 242 mayperform an adjustment according to the attributes. In some instances, anelectronic image may be adjusted for aspect ratio and/or frame size whenthese attributes of an electronic image are not sufficient forpresentation in an enterprise application without distortion orimpairment. In some embodiments, the frame size of an electronic imagemay be adjusted while maintaining an aspect ratio of the electronicimage. The aspect ratio may be maintained by padding the electronicimage as the frame size is adjusted. In some embodiments, when a framesize is adjusted to a smaller frame size, the electronic image may bescaled such that the aspect ratio may be maintained. The electronicimage may be adjusted to rotate an angle of a subject presented by theimage. The angle for rotation may be indicated by the attributes of theformat, or may be determined based on the attributes of the format. Theimage processing resources including the image processing library 260and/or the image classifiers data store 280 may be used to perform imageprocessing to adjust an image according to a format for an enterpriseapplication. In some embodiments, the image adjuster 242 may determinean adjustment for adjusting presentation of an electronic image (e.g., acropped electronic image or an original electronic image) in anenterprise application. The adjustment may be used to generate anadjusted electronic image. The adjusted electronic image may becommunicated in response(s) 106 to a client system for presentation.

FIGS. 3-9 show various examples of intelligent image processing forenterprise applications according to some embodiments of the presentinvention. Specifically, the examples illustrated in the FIGS. 3-9 showan electronic image (e.g., an original electronic image) that can beprocessed to produce an adjusted electronic image for presentation in anenterprise application. The image processing shown in the examples ofFIGS. 3-9 may be performed by the image processing system 130, theclient system 102, or any other computing system that may perform thetechniques disclosed herein. The electronic images (e.g., the originalelectronic images 172) that are processed in FIGS. 3-9 may be receivedin a request (e.g., the request 104) from a client system (e.g., theclient system 102) or may be obtained from an image data store (e.g.,the image data store 170).

Now turning to FIG. 3, one example of intelligent image processing isshown according to some embodiments of the present invention. In thisexample, a graphical user interface (GUI) 310 of an enterpriseapplication (“My Team”) is shown. The GUI 310 displays profiles ofemployees in a team. Each profile may include information about anemployee and may be associated with a view, such as a view 320, a view330, a view 340, a view 350, a view 360, and a view 370. Each of theviews 320, 330, 340, 350, 360, 370 may present an electronic image of aperson corresponding to a profile. For example, the view 320, the view330, the view 340, the view 350, the view 360, and the view 370 maypresent an electronic image 322, an electronic image 332, an electronicimage 342, an electronic image 352, an electronic image 362, and anelectronic image 372, respectively.

One or more of the electronic images 322, 332, 342, 352, 362, 372 may bean adjusted electronic image that is generated from an originalelectronic image using intelligent image processing performed by theimage processing system 130. In some embodiments, some of the electronicimages of people displayed in a view of the GUI 310 may represent anoriginal electronic image that can be presented in a view for a profilewithout adjustment of the electronic image. For example, the electronicimage 322 of a person corresponding to a profile in view 320 may havebeen adjusted from an original electronic image 302.

In FIG. 3, the original electronic image of a person 302 may be chosenfor presentation in a view corresponding to a profile of that person inthe GUI 310. The adjusted electronic image 322 may be based onadjustments of the electronic image 322. The adjusted electronic image322 may be generated for presentation in the GUI 310 according to aformat for presenting electronic images of people in the application.The application may be associated with one or more formats fordisplaying electronic images in the application. The formats may bestored in the application format data store 188. A format may indicateattributes for presenting an electronic image of a person in a profilepresented in the GUI 310 such that the person may appear visible orwithout distortion. For example, a format for displaying an electronicimage of a person in a profile may include an aspect ratio and a framesize for a view, e.g., the view 320. The image processing system 130 maydetermine an adjustment for adjusting the original electronic image 302according to attributes indicated by the format. The adjustment may beused to generate the adjusted electronic image 322.

In some embodiments, the original electronic image 302 may be adjustedbased on content presented in the electronic image 302. For instance, ifthe electronic image 302 includes other content (e.g., background) thatis not related to a subject matter of the original electronic image 302,the original electronic image 302 may be cropped to extract a subject ofthe original electronic image 302 and to exclude content, e.g., abackground, which is not related or unimportant. A cropped electronicimage 304 may be produced by cropping the original electronic image 302.By cropping the original electronic image 302, extraneous content may beremoved to enable a subject of the original electronic image 302 (e.g.,a person) to be displayed sufficiently for the application. In thisexample, cropping the original electronic image 302 may enable theperson in the original electronic image 302 to be presented in a mannerthat enables the person to be distinguished. Presentation of the personwith the background content may not be desirable within an application,such as in a profile presented in the view 320. In this example shown inFIG. 3, the original electronic image 302 may be cropped to generate acropped electronic mage 304 that does not include the unrelated contentsuch as a background (e.g., cabinets, desk, and a keyboard).

In some embodiments, the original electronic image 302 may be processedusing one or more classifiers (e.g., a facial classifier) to detect oneor more features (e.g., a face) of a person. The electronic image 302may be adjusted to remove the portions that are not recognized by any ofthe classifiers used during processing. In this example, the person inthe electronic image 302 may be identified using one or moreclassifiers, such as facial classifiers.

In some embodiments, an adjusted electronic image (e.g., the adjustedelectronic image 322) may be generated based on adjustment of thecropped electronic image 304. In some embodiments, the adjustedelectronic image 322 may be generated based on the original electronicimage 302 when cropping is not performed for an original electronicimage. The cropped electronic image 304 may be processed to determine anadjustment for presenting the cropped electronic image 304 in the view320. In some embodiments, the adjustment to crop the original electronicimage 302 may include retaining the original aspect ratio of theoriginal electronic image 302. Maintaining the original aspect ratio mayprevent the portion of the original electronic image 302 retained in thecropped electronic image 304 from being adjusted to an inadequate formatin which a subject presented by the portion appears indistguishable. Theadjusted electronic image 322 shown in FIG. 3 presents a profile view ofthe person in the original electronic image 302 with a portion of thebackground removed.

In some embodiments, the adjusted electronic image 322 may be generatedaccording to a format corresponding to the application. In the exampleshown, the application may be associated with a format for presentingelectronic images within a profile of a view (e.g., the view 322)displayed by the application. The format may indicate attributes forpresenting an electronic image of a person. For instance, the attributescan indicate a frame size and an aspect ratio for presenting anelectronic image of a person within a profile of a view to enable theperson to be distinguishable for the profile.

In the example shown in FIG. 3, an adjustment may be determined based onthe format for displaying a profile for the application shown in FIG. 3.The adjustment may be determined using the cropped electronic image 304.The format may indicate information including attributes for presentingan electronic image in the application. In one scenario, the originalelectronic image 302 may have a frame size which is greater than a framesize indicated by the format. The cropped electronic image 304 may havea frame size greater than the format. Adjustment may be made by scalingdown the cropped electronic image 304 to a frame size that satisfies theformat. Alternatively or additionally, the cropped electronic image 304may be further cropped to match a frame size of the format whilemaintaining a portion of the original electronic image 302 that includesa face of a person to be presented in the view 322. In another scenariowhere the frame size of the original electronic image 302 is less thanthe frame size indicated by the format, the original electronic image302 may be padded to generate the adjusted electronic image 322. Paddingof the cropped electronic image 304 may enable the adjusted electronicimage 322 to maintain an aspect ratio of the original electronic image302 while having a frame size that satisfies the format.

In some embodiments, an adjustment of an aspect ratio of the originalelectronic image 302 may be determined according to a format of theapplication. In some embodiments, a further adjustment may be determinedusing the cropped electronic image 304. The adjustment may be determinedaccording to an aspect ratio indicated by the format of the application.In the instance where the cropped electronic image 304 has a frame sizegreater than the format, the cropped electronic image 304 may be scaleddown to have the frame size and the aspect ratio satisfying the format.

Thus, by dynamically adjusting an electronic image according for aformat desired for an application, an electronic image may be displayedin a manner that enables the subject of the electronic image to beadequately formatted such that the subject appears distinguishableand/or presented without distortion. In the example shown in FIG. 3, anelectronic image of a person may dynamically be processed forpresentation within a profile of the person without a user having toprovide an original electronic image that satisfies the format for theprofile. A burden is removed from a user to determine image formatsassociated with different enterprise applications. An organization'sburden may be reduced from verifying compliance with formats ofdifferent applications. In an instance where an organization has manydifferent enterprise applications that present many images of employeesaccording to different requirements, an organization can be assured thata single electronic image of an employee can be adjusted forpresentation each different enterprise applications in a manner thatenables the employee to be identified in each application.

Now turning to FIG. 4, another example of intelligent image processingis described according to some embodiments of the present invention.This example shows an electronic image (e.g., the original electronicimage 302) of a subject (e.g., a person) adjusted for presentation in anenterprise application (“Personal Information”). The enterpriseapplication may present a graphical user interface (GUI) 410. The GUI410 for the enterprise application may provide information (e.g.,personal information) about an employee in an organization. Theenterprise application shown in FIG. 4 may be different from theenterprise application shown in FIG. 3.

The GUI 410 displays a detailed profile 420 of an employee in anorganization. The detailed profile 420 may present personal informationabout an employee and may present an electronic image 422 of a personthat is the employee of the organization. The electronic image 422 maybe adjusted from the original electronic image 302. As explained above,different adjusted electronic images can be generated from a singleoriginal electronic image, such as the original electronic image 302.

The adjusted electronic image 422 may be generated for presentation inthe GUI 410 according to a format for presenting an electronic image ina detailed profile provided by the enterprise application. As explainedabove, an application may be associated with one or more formats fordisplaying electronic images in the application. The format for theenterprise application shown in FIG. 4 may include attributes forpresenting an electronic image of a person in the detailed profilepresented 420 in the GUI 410. The image processing system 130 maydetermine an adjustment for adjusting the original electronic image 302according to attributes included in the format. The adjustment may beused to generate the adjusted electronic image 422.

The adjusted electronic image 422 may be generated based on the croppedelectronic image 304 of the original electronic image 302. As explainedabove, the original image 302 includes unrelated content (e.g., thebackground). The adjusted electronic image 422 presented in the GUI 410is shown with a portion of the background removed. The originalelectronic image 302 may be cropped to remove the unrelated content. Asexplained above, the original electronic image 302 can be processedusing one or more classifiers (e.g., a facial classifier) to detect oneor more subjects in an electronic image. In this example, facialclassifiers may be used to detect a portion of an image including aface. Although cropping may be performed on the original electronicimage 302, an aspect ratio of the original electronic image 302 may bemaintained to prevent distortion of the subject in the originalelectronic image 302.

The cropped electronic image 304 may be further processed to generatethe adjusted electronic image 422 according to a format corresponding tothe application shown in FIG. 4. In some embodiments in which theoriginal electronic image 302 is not cropped, the adjusted electronicimage 422 may be generated based on processing of the originalelectronic image 302 according to the format. In this example, theapplication may be associated with a format for presenting electronicimages in an individual profile of a person provided by the application.The format for presenting an electronic image in the GUI 410 isdifferent from the format for presenting an electronic image in the GUI310. The format for presenting an electronic image in the GUI 410 mayhave an additional and/or different attributes. For example, the framesize and/or the aspect ratio may be different of the format associatedwith the enterprise application shown in FIG. 4.

The cropped electronic image 304 may be processed to determine anadjustment for generating the adjusted electronic image 422. In someembodiments, the cropped electronic image 304 may be processed todetermine an adjusted frame size according to the format for theapplication. The cropped electronic 304 image may be resized to theadjusted frame size. The adjustment to the frame size may includeadjusting an aspect ratio if the aspect ratio of the original electronicimage is different from the format. In some embodiments, the croppedelectronic image 304 may be padded when it is resized to a frame size ofthe format to preserve the aspect ratio of the original electronic image302. Presenting the aspect ratio may prevent distortion or effects ofrendering a subject in the original electronic image 302. In someembodiments, when the adjusted frame size is smaller than the croppedelectronic image 304, the cropped electronic image 304 may be scaled tomaintain the aspect ratio of the original electronic image 302 ascropped electronic image is adjust to the frame size of the format.

Now turning to FIG. 5, yet another example of intelligent imageprocessing is described according to some embodiments of the presentinvention. This example shows an electronic image (e.g., the originalelectronic image 302) of a subject (e.g., a person) adjusted forpresentation in an enterprise application. A graphical user interface(GUI) 510 of an enterprise application (“Directory”) is shown in FIG. 5.The GUI 510 for the enterprise application provides directoryinformation including an organizational chart of employees in anorganization. The enterprise application provides information about eachemployee shown in the organization's directory. The enterpriseapplication shown in FIG. 5 may be different from other enterpriseapplications shown in FIGS. 3 and 4.

The GUI 510 displays an organizational directory 520 of employees in anorganization. The organization directory may include multiple profiles(e.g., a profile 530, a profile 540, and a profile 550). Each profilemay be associated with an employee in the organizational structure. Someof the profiles, such as profile 530 may include an adjusted electronicimage 532 of a person. The adjusted electronic image 532 is generatedfrom the original electronic image 302. Using a single originalelectronic image 302, different adjusted electronic images can begenerated for enterprise applications.

The adjusted electronic image 532 may be generated for presentation inthe GUI 510 according to a format for presenting an electronic image ina profile of an employee in the employee directory. The format for theenterprise application shown in FIG. 5 may indicate attributes forpresenting an electronic image of a person in a profile presented in theGUI 510. The image processing system 130 may determine an adjustment foradjusting the original electronic image 302 according to attributesincluded in the format. The adjustment may be used to generate theadjusted electronic image 532.

As explained above, the cropped electronic image 304 may be generated bycropping the original electronic image 302 to remove content unrelatedto a subject of the original image 302. The adjusted electronic image532 presented in the GUI 510 is shown with a portion of the backgroundcropped.

The cropped electronic image 304 may be further processed to generatethe adjusted electronic image 532 according to a format corresponding tothe application shown in FIG. 5. In some embodiments in which theoriginal electronic image 302 is not cropped, the adjusted electronicimage 532 may be generated by processing the original electronic image302 according to the format. In this example, the enterprise applicationmay be associated with a format for presenting an electronic image of anindividual for a profile in a directory of employees. The format forpresenting an electronic image in the GUI 510 may have an additionaland/or different attributes than the format associated with theenterprise applications shown in FIGS. 3 and 4.

The cropped electronic image 304 may be further processed to determinean adjustment for generating the adjusted electronic image 532. Thecropped electronic image 304 may be processed to determine an adjustedframe size corresponding to a format for the enterprise application. Theprofile 530 may have a different frame size than profiles displayed inthe other enterprise applications. In this example, the croppedelectronic image 304 has a frame size that is larger than the frame sizeshown in the profile 530. The cropped electronic image 304 may beresized to the adjusted frame size according to the format. Theadjustment to the frame size may include adjusting an aspect ratio ifthe aspect ratio of the original electronic image is different from theformat. In some embodiments, the aspect ratio of the cropped image maybe adjusted to a different aspect ratio. The adjusted aspect ratio maybe chosen as better suited for the adjusted frame size. Adjusting theaspect ratio may improve rending of the subject in the originalelectronic image 302. The format associated with the application mayindicate an aspect ratio to present an electronic image according to aframe size.

Now turning to FIG. 6, yet another example of intelligent imageprocessing is described according to some embodiments of the presentinvention. In this example, a GUI 610 is shown which may enable a userto choose an original electronic image to be used for presentation indifferent enterprise applications. The GUI 610 shows a detailed view ofinformation associated with a profile presented in a directory ofemployees, such as the directory of employees shown in the GUI 510.Specifically, the GUI 610 shows a detailed profile 650 corresponding tothe profile 550. The profile 650 presents a default electronic image 660that may be shown when an original electronic image is not found for aperson associated with the profile 550. In this instance, an adjustedelectronic image is not generated because an original electronic imageis not found.

The GUI 610 may include an interactive element 620 (e.g., a control)that receives input. The input may indicate a request to enablegeneration of another GUI to specify a source of an original electronicimage. In response to interaction with the interactive element 620,another GUI 710 in FIG. 7 may be generated.

Now turning to FIG. 7, the GUI 710 may enable a user to choose anoriginal electronic image. The GUI 710 may include a selector 720 tochoose an original electronic image file from a plurality of files. Insome embodiments, the GUI 710 may enable a user to select one or moreother locations for locating an original electronic image. Interactionwith an interactive element 720 may enable the selected originalelectronic image to be processed by image processing techniquesdisclosed herein. For example, the image processing system 130 mayprocess the original electronic image to present an adjusted electronicimage in the profile 550.

Now turning to FIG. 8, which shows an example of intelligent imageprocessing described according to some embodiments of the presentinvention. Specifically, FIG. 8 shows the GUI 610 presenting an adjustedelectronic image 820 generated based on an adjustment from the originalelectronic image selected in FIG. 7. The adjusted electronic image 820may be presented in the detailed profile 650 in the GUI 610. Theadjusted electronic image 820 may be adjusted for presentation in the“Directory” enterprise application.

Now turning to FIG. 9, another example of intelligent image processingis described according to some embodiments of the present invention.This example shows an electronic image 902 of a subject (e.g., a groupof people) adjusted for presentation in an enterprise application. A GUI940 of an enterprise application (“Infolet”) is shown. In this example,the enterprise application provides information (e.g., statistics andmember information) about a team of employees in an organization. Theinformation presented in the GUI 940 may include electronic images ofpeople included in the team. The enterprise application shown in FIG. 9may be different from the enterprise applications shown in FIGS. 3-8.

An electronic image 902 (e.g., an original electronic image) may beprocessed to identify multiple images 904-912 associated with differentsubjects in the electronic image 902. Each of the different subjects maycorrespond to a person, place, or object. In this example, each of theelectronic images 904-912 may correspond to an image of a person. Theelectronic image 902 may be processed to identify each of the subjectsin the image. For example, one or more facial classifiers, imagerecognition techniques, or image classification techniques may be usedto identify faces and/or features of a person in the electronic image.In some embodiments, classifiers may be used to determine an identity ofeach subject in each of the electronic images 904-912. Each subject maybe cropped to produce an electronic image (e.g., a cropped electronicimage). In some embodiments, an image may be cropped based on a formatfor presentation in the enterprise application. For example, each of theelectronic images 904-912 may be cropped based on the attributes (e.g.,frame size) in the format.

As disclosed herein and illustrated in the previous examples, eachcropped electronic image may be processed to determine an adjustment foradjusting the cropped electronic image. Here, each of the electronicimages may be adjusted based on a format for presenting the electronicimages in the GUI 940. For example, the electronic images 904-912 may beprocessed to generate adjusted electronic images 922-932, respectively.Each of the adjusted electronic images 922-932 may correspond to aformat for presenting electronic images of employees in a team asdepicted. In some embodiments, one or more of the cropped electronicimages 904-912 may be adjusted to a different format for presentingelectronic images in the application. For example, the croppedelectronic image 910 may be processed to generate another adjustedelectronic image 934 according to a different format as shown in the GUI940.

The techniques illustrated in FIG. 9 show how image processing may bereduced by processing a single electronic image for many electronicimages, each of which can be dynamically processed to determine anadjustment for present the electronic images according to a format of anapplication.

FIG. 10 is a flowchart illustrating a process 1000 to performintelligent image processing for an enterprise application according tosome embodiments of the present invention. Specifically, the process1000 enables a computing system to present an electronic image in anenterprise application according to a format of the enterpriseapplication. The process 1000 may be implemented by the client system102, the image processing system 130, or a combination thereof.

The process 1000 may begin at block 1005 by receiving a request tooperate an enterprise application of a plurality of enterpriseapplications. For example, the image processing system 130 may receive arequest (e.g., the request 104) from the client system 102. The requestmay be to operate one of the enterprise applications 110, 120, 190. Eachof the plurality of enterprise applications may be associated withcriteria for presenting an electronic image (e.g., an originalelectronic image) in the corresponding enterprise application.

At block 1010, the process 1000 may include receiving an originalelectronic image to present in the request enterprise application. Forexample, the image processing system 130 may receive an originalelectronic image in the request 104 from the client system 102. Inanother example, the image processing system 130 may receive an originalelectronic image (e.g., an electronic image 172) from the image datastore 170.

At block 1015, the process 1000 may include determining whether toadjust the original electronic image for presentation in the requestedenterprise application. To make a determination for adjustment of theoriginal electronic image, the process 1000 may obtain a format forpresenting an electronic image in the requested enterprise application.For example, the process 1000 may obtain a format from the applicationformat data store 188. The format may be chosen based on a type of therequested enterprise application, a function of the requested enterpriseapplication, and/or the subject in the original electronic image. Theformat may indicate attributes for presenting an original electronicimage. The format may indicate criteria for determining an adjustmentbased on the attributes. The process 1000 may determine whetherattributes (e.g., an aspect ratio or a frame size) of the originalelectronic image match the attributes indicated by the format. Adetermination to adjust the original electronic image may be based onwhether the attributes of the original electronic image match theattributes in the format or whether the criteria indicated by the formathave been satisfied. A determination whether to adjust the originalelectronic image may be based on whether the original electronic imagehas content to be cropped, such as a background.

An adjustment may be performed upon determining that the attributes donot match and/or that the criteria indicated by the format has notsatisfied. In some embodiments, an adjustment may be performed upondetermining that the original electronic image includes content to beremoved. Upon determining that the original electronic image does notneed an adjustment, the process 1000 may proceed to end at block 1035.Upon determining that the original electronic image needs to beadjusted, the process 1000 may proceed to block 1020.

At block 1020, the process 1000 may determine an adjustment of theoriginal electronic image. The adjustment may be determined based onwhether the original electronic image has content to be cropped. Forexample, the process 1000 may determine whether the original electronicimage includes a background to be cropped. The process 1000 may useimage classifiers or object classifiers to identify a subject (e.g., aperson, place, or an object) in the original electronic image. Theadjustment may correspond to cropping a portion of the originalelectronic image. The adjustment may be determined based on the formatfor the requested enterprise application. In some embodiments, theadjustment may include modifying an electronic image to have theattributes of the format and/or to satisfy the criteria of the format.The adjustment may be determined based on the cropped portion of theoriginal electronic image.

At block 1025, the process 1000 may include generating an adjustedelectronic image to present in the requested enterprise application. Theadjusted electronic image is generated using the determined adjustment.In some embodiments, the original electronic image may be cropped, ifnecessary, and an adjustment based on the format of the requestedapplication may be made using the cropped electronic image. The adjustedelectronic image may be generated based on adjustment applied to thecropped electronic image.

At block 1030, the process 1000 may include enabling presentation of theadjusted electronic image in the requested enterprise application duringoperation of the requested enterprise application. To enablepresentation, the process 1000 may send the adjusted electronic image toa client system to present the adjusted electronic image in therequested enterprise application. In some embodiments, enablingpresentation of the adjusted electronic image may include generating aGUI for the application that includes the adjusted electronic image. Thegenerated GUI may be presented in the requested enterprise applicationduring operation.

It will be appreciated that process 1000 is illustrative and thatvariations and modifications are possible. Steps described as sequentialmay be executed in parallel, order of steps may be varied, and steps maybe modified, combined, added or omitted. Process 1000 can be performedeach time an enterprise application is requested in which an electronicimage is to be displayed according to a format that may differ fromother enterprise applications or other functions provided by therequested enterprise application. It should be noted that process 1000can be performed concurrently for requests to operate other enterpriseapplications.

FIG. 11 depicts a simplified diagram of a distributed system 1100 forimplementing one of the embodiments. The distributed system 1100 canimplement all or a part of the computing system 100 including the clientsystem 102 and/or the image processing system 130 in FIG. 1. Thedistributed system 1100 can implement operations, methods, and/orprocesses (e.g., the process 1000 of FIG. 10). In the illustratedembodiment, distributed system 1100 includes one or more clientcomputing devices 1102, 1104, 1106, and 1108, which are configured toexecute and operate a client application such as a web browser,proprietary client (e.g., Oracle Forms), or the like over one or morenetwork(s) 1110. In certain embodiments, the one or more clientcomputing devices 1102-1108 can include the client system 102 of FIG. 1.Server 1112 may be communicatively coupled with remote client computingdevices 1102, 1104, 1106, and 1108 via network 1110. The server 1112 caninclude the client system 102 and/or the image processing system 130.

In various embodiments, server 1112 may be adapted to run one or moreservices or software applications provided by one or more of thecomponents of the system. The services or software applications caninclude nonvirtual and virtual environments. Virtual environments caninclude those used for virtual events, tradeshows, simulators,classrooms, shopping exchanges, and enterprises, whether two- orthree-dimensional (3D) representations, page-based logical environments,or otherwise. In some embodiments, these services may be offered asweb-based or cloud services or under a Software as a Service (SaaS)model to the users of client computing devices 1102, 1104, 1106, and/or1108. Users operating client computing devices 1102, 1104, 1106, and/or1108 may in turn utilize one or more client applications to interactwith server 1112 to utilize the services provided by these components.

In the configuration depicted in the figure, the software components1118, 1120 and 1122 of system 1100 are shown as being implemented onserver 1112. In other embodiments, one or more of the components ofsystem 1100 and/or the services provided by these components may also beimplemented by one or more of the client computing devices 1102, 1104,1106, and/or 1108. Users operating the client computing devices may thenutilize one or more client applications to use the services provided bythese components. These components may be implemented in hardware,firmware, software, or combinations thereof. It should be appreciatedthat various different system configurations are possible, which may bedifferent from distributed system 1100. The embodiment shown in thefigure is thus one example of a distributed system for implementing anembodiment system and is not intended to be limiting.

Client computing devices 1102, 1104, 1106, and/or 1108 may be portablehandheld devices (e.g., an iPhone®, cellular telephone, an iPad®,computing tablet, a personal digital assistant (PDA)) or wearabledevices (e.g., a Google Glass® head mounted display), running softwaresuch as Microsoft Windows Mobile®, and/or a variety of mobile operatingsystems such as iOS, Windows Phone, Android, BlackBerry 10, Palm OS, andthe like, and being Internet, e-mail, short message service (SMS),Blackberry®, or other communication protocol enabled. The clientcomputing devices can be general purpose personal computers including,by way of example, personal computers and/or laptop computers runningvarious versions of Microsoft Windows®, Apple Macintosh®, and/or Linuxoperating systems. The client computing devices can be workstationcomputers running any of a variety of commercially-available UNIX® orUNIX-like operating systems, including without limitation the variety ofGNU/Linux operating systems, such as for example, Google Chrome OS.Alternatively, or in addition, client computing devices 1102, 1104,1106, and 1108 may be any other electronic device, such as a thin-clientcomputer, an Internet-enabled gaming system (e.g., a Microsoft Xboxgaming console with or without a Kinect® gesture input device), and/or apersonal messaging device, capable of communicating over network(s)1110.

Although exemplary distributed system 1100 is shown with four clientcomputing devices, any number of client computing devices may besupported. Other devices, such as devices with sensors, etc., mayinteract with server 1112.

Network(s) 1110 in distributed system 1100 may be any type of networkfamiliar to those skilled in the art that can support datacommunications using any of a variety of commercially-availableprotocols, including without limitation TCP/IP (transmission controlprotocol/Internet protocol), SNA (systems network architecture), IPX(Internet packet exchange), AppleTalk, and the like. Merely by way ofexample, network(s) 1110 can be a local area network (LAN), such as onebased on Ethernet, Token-Ring and/or the like. Network(s) 1110 can be awide-area network and the Internet. It can include a virtual network,including without limitation a virtual private network (VPN), anintranet, an extranet, a public switched telephone network (PSTN), aninfra-red network, a wireless network (e.g., a network operating underany of the Institute of Electrical and Electronics (IEEE) 802.11 suiteof protocols, Bluetooth®, and/or any other wireless protocol); and/orany combination of these and/or other networks.

Server 1112 may be composed of one or more general purpose computers,specialized server computers (including, by way of example, PC (personalcomputer) servers, UNIX® servers, mid-range servers, mainframecomputers, rack-mounted servers, etc.), server farms, server clusters,or any other appropriate arrangement and/or combination. Server 1112 caninclude one or more virtual machines running virtual operating systems,or other computing architectures involving virtualization. One or moreflexible pools of logical storage devices can be virtualized to maintainvirtual storage devices for the server. Virtual networks can becontrolled by server 1112 using software defined networking. In variousembodiments, server 1112 may be adapted to run one or more services orsoftware applications described in the foregoing disclosure. Forexample, server 1112 may correspond to a server for performingprocessing described above according to an embodiment of the presentinvention.

Server 1112 may run an operating system including any of those discussedabove, as well as any commercially available server operating system.Server 1112 may also run any of a variety of additional serverapplications and/or mid-tier applications, including HTTP servers, FTPservers, CGI (common gateway interface) servers, JAVA® servers, databaseservers, and the like. Exemplary database servers include withoutlimitation those commercially available from Oracle, Microsoft, Sybase,IBM (International Business Machines), and the like.

In some implementations, server 1112 may include one or moreapplications to analyze and consolidate data feeds and/or event updatesreceived from users of client computing devices 1102, 1104, 1106, and1108. As an example, data feeds and/or event updates may include, butare not limited to, Twitter® feeds, Facebook® updates or real-timeupdates received from one or more third party information sources andcontinuous data streams, which may include real-time events related tosensor data applications, financial tickers, network performancemeasuring tools (e.g., network monitoring and traffic managementapplications), clickstream analysis tools, automobile trafficmonitoring, and the like. Server 1112 may also include one or moreapplications to display the data feeds and/or real-time events via oneor more display devices of client computing devices 1102, 1104, 1106,and 1108.

Distributed system 1100 may also include one or more databases 1114 and1116. Databases 1114 and 1116 may reside in a variety of locations. Byway of example, one or more of databases 1114 and 1116 may reside on anon-transitory storage medium local to (and/or resident in) server 1112.Alternatively, databases 1114 and 1116 may be remote from server 1112and in communication with server 1112 via a network-based or dedicatedconnection. In one set of embodiments, databases 1114 and 1116 mayreside in a storage-area network (SAN). Similarly, any necessary filesfor performing the functions attributed to server 1112 may be storedlocally on server 1112 and/or remotely, as appropriate. In one set ofembodiments, databases 1114 and 1116 may include relational databases,such as databases provided by Oracle, that are adapted to store, update,and retrieve data in response to SQL-formatted commands. The one or moredatabases 1114 and 1116 can include or be implemented as the image datastore 170, the image classifier data store 280, the application formatdata store 188, the image processing library 260, or a combinationthereof.

FIG. 12 is a simplified block diagram of one or more components of asystem environment 1200 by which services provided by one or morecomponents of an embodiment system may be offered as cloud services, inaccordance with an embodiment of the present invention. The systemenvironment 1200 can include or implement the computing system 100, thecomputing system 200, the client system 102, the image processing system130, or a combination thereof. The system environment 1200 can implementoperations, methods, and/or processes (e.g., the process 1000 of FIG.10). In the illustrated embodiment, system environment 1200 includes oneor more client computing devices 1204, 1206, and 1208 that may be usedby users to interact with a cloud infrastructure system 1202 thatprovides cloud services. The client computing devices may be configuredto operate a client application such as a web browser, a proprietaryclient application (e.g., Oracle Forms), or some other application,which may be used by a user of the client computing device to interactwith cloud infrastructure system 1202 to use services provided by cloudinfrastructure system 1202.

It should be appreciated that cloud infrastructure system 1202 depictedin the figure may have other components than those depicted. Further,the embodiment shown in the figure is only one example of a cloudinfrastructure system that may incorporate an embodiment of theinvention. For example, the cloud infrastructure system 1202 can includeor implement the computing system 100, the computing system 200, theclient system 102, the image processing system 130, or a combinationthereof. In some other embodiments, cloud infrastructure system 1202 mayhave more or fewer components than shown in the figure, may combine twoor more components, or may have a different configuration or arrangementof components.

Client computing devices 1204, 1206, and 1208 may be devices similar tothose described above for 1102, 1104, 1106, and 1108.

Although exemplary system environment 1200 is shown with three clientcomputing devices, any number of client computing devices may besupported. Other devices such as devices with sensors, etc. may interactwith cloud infrastructure system 1202.

Network(s) 1210 may facilitate communications and exchange of databetween clients 1204, 1206, and 1208 and cloud infrastructure system1202. Each network may be any type of network familiar to those skilledin the art that can support data communications using any of a varietyof commercially-available protocols, including those described above fornetwork(s) 1110.

Cloud infrastructure system 1202 may comprise one or more computersand/or servers that may include those described above for server 1112.

In certain embodiments, services provided by the cloud infrastructuresystem may include a host of services that are made available to usersof the cloud infrastructure system on demand, such as online datastorage and backup solutions, Web-based e-mail services, hosted officesuites and document collaboration services, database processing, managedtechnical support services, and the like. Services provided by the cloudinfrastructure system can dynamically scale to meet the needs of itsusers. A specific instantiation of a service provided by cloudinfrastructure system is referred to herein as a “service instance.” Ingeneral, any service made available to a user via a communicationnetwork, such as the Internet, from a cloud service provider's system isreferred to as a “cloud service.” Typically, in a public cloudenvironment, servers and systems that make up the cloud serviceprovider's system are different from the customer's own on-premisesservers and systems. For example, a cloud service provider's system mayhost an application, and a user may, via a communication network such asthe Internet, on demand, order and use the application.

In some examples, a service in a computer network cloud infrastructuremay include protected computer network access to storage, a hosteddatabase, a hosted web server, a software application, or other serviceprovided by a cloud vendor to a user, or as otherwise known in the art.For example, a service can include password-protected access to remotestorage on the cloud through the Internet. As another example, a servicecan include a web service-based hosted relational database and ascript-language middleware engine for private use by a networkeddeveloper. As another example, a service can include access to an emailsoftware application hosted on a cloud vendor's web site.

In certain embodiments, cloud infrastructure system 1202 may include asuite of applications, middleware, and database service offerings thatare delivered to a customer in a self-service, subscription-based,elastically scalable, reliable, highly available, and secure manner. Anexample of such a cloud infrastructure system is the Oracle Public Cloudprovided by the present assignee.

Large volumes of data, sometimes referred to as big data, can be hostedand/or manipulated by the infrastructure system on many levels and atdifferent scales. Such data can include data sets that are so large andcomplex that it can be difficult to process using typical databasemanagement tools or traditional data processing applications. Forexample, terabytes of data may be difficult to store, retrieve, andprocess using personal computers or their rack-based counterparts. Suchsizes of data can be difficult to work with using most currentrelational database management systems and desktop statistics andvisualization packages. They can require massively parallel processingsoftware running thousands of server computers, beyond the structure ofcommonly used software tools, to capture, curate, manage, and processthe data within a tolerable elapsed time.

Extremely large data sets can be stored and manipulated by analysts andresearchers to visualize large amounts of data, detect trends, and/orotherwise interact with the data. Tens, hundreds, or thousands ofprocessors linked in parallel can act upon such data in order to presentit or simulate external forces on the data or what it represents. Thesedata sets can involve structured data, such as that organized in adatabase or otherwise according to a structured model, and/orunstructured data (e.g., emails, images, data blobs (binary largeobjects), web pages, complex event processing). By leveraging an abilityof an embodiment to relatively quickly focus more (or fewer) computingresources upon an objective, the cloud infrastructure system may bebetter available to carry out tasks on large data sets based on demandfrom a business, government agency, research organization, privateindividual, group of like-minded individuals or organizations, or otherentity.

In various embodiments, cloud infrastructure system 1202 may be adaptedto automatically provision, manage and track a customer's subscriptionto services offered by cloud infrastructure system 1202. Cloudinfrastructure system 1202 may provide the cloud services via differentdeployment models. For example, services may be provided under a publiccloud model in which cloud infrastructure system 1202 is owned by anorganization selling cloud services (e.g., owned by Oracle) and theservices are made available to the general public or different industryenterprises. As another example, services may be provided under aprivate cloud model in which cloud infrastructure system 1202 isoperated solely for a single organization and may provide services forone or more entities within the organization. The cloud services mayalso be provided under a community cloud model in which cloudinfrastructure system 1202 and the services provided by cloudinfrastructure system 1202 are shared by several organizations in arelated community. The cloud services may also be provided under ahybrid cloud model, which is a combination of two or more differentmodels.

In some embodiments, the services provided by cloud infrastructuresystem 1202 may include one or more services provided under Software asa Service (SaaS) category, Platform as a Service (PaaS) category,Infrastructure as a Service (IaaS) category, or other categories ofservices including hybrid services. A customer, via a subscriptionorder, may order one or more services provided by cloud infrastructuresystem 1202. Cloud infrastructure system 1202 then performs processingto provide the services in the customer's subscription order.

In some embodiments, the services provided by cloud infrastructuresystem 1202 may include, without limitation, application services,platform services and infrastructure services. In some examples,application services may be provided by the cloud infrastructure systemvia a SaaS platform. The SaaS platform may be configured to providecloud services that fall under the SaaS category. For example, the SaaSplatform may provide capabilities to build and deliver a suite ofon-demand applications on an integrated development and deploymentplatform. The SaaS platform may manage and control the underlyingsoftware and infrastructure for providing the SaaS services. Byutilizing the services provided by the SaaS platform, customers canutilize applications executing on the cloud infrastructure system.Customers can acquire the application services without the need forcustomers to purchase separate licenses and support. Various differentSaaS services may be provided. Examples include, without limitation,services that provide solutions for sales performance management,enterprise integration, and business flexibility for largeorganizations.

In some embodiments, platform services may be provided by the cloudinfrastructure system via a PaaS platform. The PaaS platform may beconfigured to provide cloud services that fall under the PaaS category.Examples of platform services may include without limitation servicesthat enable organizations (such as Oracle) to consolidate existingapplications on a shared, common architecture, as well as the ability tobuild new applications that leverage the shared services provided by theplatform. The PaaS platform may manage and control the underlyingsoftware and infrastructure for providing the PaaS services. Customerscan acquire the PaaS services provided by the cloud infrastructuresystem without the need for customers to purchase separate licenses andsupport. Examples of platform services include, without limitation,Oracle Java Cloud Service (JCS), Oracle Database Cloud Service (DBCS),and others.

By utilizing the services provided by the PaaS platform, customers canemploy programming languages and tools supported by the cloudinfrastructure system and also control the deployed services. In someembodiments, platform services provided by the cloud infrastructuresystem may include database cloud services, middleware cloud services(e.g., Oracle Fusion Middleware services), and Java cloud services. Inone embodiment, database cloud services may support shared servicedeployment models that enable organizations to pool database resourcesand offer customers a Database as a Service in the form of a databasecloud. Middleware cloud services may provide a platform for customers todevelop and deploy various business applications, and Java cloudservices may provide a platform for customers to deploy Javaapplications, in the cloud infrastructure system.

Various different infrastructure services may be provided by an IaaSplatform in the cloud infrastructure system. The infrastructure servicesfacilitate the management and control of the underlying computingresources, such as storage, networks, and other fundamental computingresources for customers utilizing services provided by the SaaS platformand the PaaS platform.

In certain embodiments, cloud infrastructure system 1202 may alsoinclude infrastructure resources 1230 for providing the resources usedto provide various services to customers of the cloud infrastructuresystem. In one embodiment, infrastructure resources 1230 may includepre-integrated and optimized combinations of hardware, such as servers,storage, and networking resources to execute the services provided bythe PaaS platform and the SaaS platform.

In some embodiments, resources in cloud infrastructure system 1202 maybe shared by multiple users and dynamically re-allocated per demand.Additionally, resources may be allocated to users in different timezones. For example, cloud infrastructure system 1230 may enable a firstset of users in a first time zone to utilize resources of the cloudinfrastructure system for a specified number of hours and then enablethe re-allocation of the same resources to another set of users locatedin a different time zone, thereby maximizing the utilization ofresources.

In certain embodiments, a number of internal shared services 1232 may beprovided that are shared by different components or modules of cloudinfrastructure system 1202 and by the services provided by cloudinfrastructure system 1202. These internal shared services may include,without limitation, a security and identity service, an integrationservice, an enterprise repository service, an enterprise managerservice, a virus scanning and white list service, a high availability,backup and recovery service, service for enabling cloud support, anemail service, a notification service, a file transfer service, and thelike.

In certain embodiments, cloud infrastructure system 1202 may providecomprehensive management of cloud services (e.g., SaaS, PaaS, and IaaSservices) in the cloud infrastructure system. In one embodiment, cloudmanagement functionality may include capabilities for provisioning,managing and tracking a customer's subscription received by cloudinfrastructure system 1202, and the like.

In one embodiment, as depicted in the figure, cloud managementfunctionality may be provided by one or more modules, such as an ordermanagement module 1220, an order orchestration module 1222, an orderprovisioning module 1224, an order management and monitoring module1226, and an identity management module 1228. These modules may includeor be provided using one or more computers and/or servers, which may begeneral purpose computers, specialized server computers, server farms,server clusters, or any other appropriate arrangement and/orcombination.

In exemplary operation 1234, a customer using a client device, such asclient device 1204, 1206 or 1208, may interact with cloud infrastructuresystem 1202 by requesting one or more services provided by cloudinfrastructure system 1202 and placing an order for a subscription forone or more services offered by cloud infrastructure system 1202. Incertain embodiments, the customer may access a cloud User Interface(UI), cloud UI 1212, cloud UI 1214 and/or cloud UI 1216 and place asubscription order via these UIs. The order information received bycloud infrastructure system 1202 in response to the customer placing anorder may include information identifying the customer and one or moreservices offered by the cloud infrastructure system 1202 that thecustomer intends to subscribe to.

After an order has been placed by the customer, the order information isreceived via the cloud UIs, 1212, 1214 and/or 1216.

At operation 1236, the order is stored in order database 1218. Orderdatabase 1218 can be one of several databases operated by cloudinfrastructure system 1218 and operated in conjunction with other systemelements.

At operation 1238, the order information is forwarded to an ordermanagement module 1220. In some instances, order management module 1220may be configured to perform billing and accounting functions related tothe order, such as verifying the order, and upon verification, bookingthe order.

At operation 1240, information regarding the order is communicated to anorder orchestration module 1222. Order orchestration module 1222 mayutilize the order information to orchestrate the provisioning ofservices and resources for the order placed by the customer. In someinstances, order orchestration module 1222 may orchestrate theprovisioning of resources to support the subscribed services using theservices of order provisioning module 1224.

In certain embodiments, order orchestration module 1222 enables themanagement of business processes associated with each order and appliesbusiness logic to determine whether an order should proceed toprovisioning. At operation 1242, upon receiving an order for a newsubscription, order orchestration module 1222 sends a request to orderprovisioning module 1224 to allocate resources and configure thoseresources needed to fulfill the subscription order. Order provisioningmodule 1224 enables the allocation of resources for the services orderedby the customer. Order provisioning module 1224 provides a level ofabstraction between the cloud services provided by cloud infrastructuresystem 1200 and the physical implementation layer that is used toprovision the resources for providing the requested services. Orderorchestration module 1222 may thus be isolated from implementationdetails, such as whether or not services and resources are actuallyprovisioned on the fly or pre-provisioned and only allocated/assignedupon request.

At operation 1244, once the services and resources are provisioned, anotification of the provided service may be sent to customers on clientdevices 1204, 1206 and/or 1208 by order provisioning module 1224 ofcloud infrastructure system 1202.

At operation 1246, the customer's subscription order may be managed andtracked by an order management and monitoring module 1226. In someinstances, order management and monitoring module 1226 may be configuredto collect usage statistics for the services in the subscription order,such as the amount of storage used, the amount data transferred, thenumber of users, and the amount of system up time and system down time.

In certain embodiments, cloud infrastructure system 1200 may include anidentity management module 1228. Identity management module 1228 may beconfigured to provide identity services, such as access management andauthorization services in cloud infrastructure system 1200. In someembodiments, identity management module 1228 may control informationabout customers who wish to utilize the services provided by cloudinfrastructure system 1202. Such information can include informationthat authenticates the identities of such customers and information thatdescribes which actions those customers are authorized to performrelative to various system resources (e.g., files, directories,applications, communication ports, memory segments, etc.) Identitymanagement module 1228 may also include the management of descriptiveinformation about each customer and about how and by whom thatdescriptive information can be accessed and modified.

FIG. 13 illustrates an exemplary computer system 1300, in which variousembodiments of the present invention may be implemented. The system 1300may be used to implement any of the computer systems described above.For example, the computing system 100, the computing system 200, theclient system 102, the image processing system 130, or a combinationthereof can be included or implemented in the system 1300. The system1300 can implement operations, methods, and/or processes (e.g., theprocess 1000 of FIG. 10). As shown in the figure, computer system 1300includes a processing unit 1304 that communicates with a number ofperipheral subsystems via a bus subsystem 1302. These peripheralsubsystems may include a processing acceleration unit 1306, an I/Osubsystem 1308, a storage subsystem 1318 and a communications subsystem1324. Storage subsystem 1318 includes tangible computer-readable storagemedia 1322 and a system memory 1310.

Bus subsystem 1302 provides a mechanism for letting the variouscomponents and subsystems of computer system 1300 communicate with eachother as intended. Although bus subsystem 1302 is shown schematically asa single bus, alternative embodiments of the bus subsystem may utilizemultiple buses. Bus subsystem 1302 may be any of several types of busstructures including a memory bus or memory controller, a peripheralbus, and a local bus using any of a variety of bus architectures. Forexample, such architectures may include an Industry StandardArchitecture (ISA) bus, Micro Channel Architecture (MCA) bus, EnhancedISA (EISA) bus, Video Electronics Standards Association (VESA) localbus, and Peripheral Component Interconnect (PCI) bus, which can beimplemented as a Mezzanine bus manufactured to the IEEE P1386.1standard.

Processing unit 1304, which can be implemented as one or more integratedcircuits (e.g., a conventional microprocessor or microcontroller),controls the operation of computer system 1300. One or more processorsmay be included in processing unit 1304. These processors may includesingle core or multicore processors. In certain embodiments, processingunit 1304 may be implemented as one or more independent processing units1332 and/or 1334 with single or multicore processors included in eachprocessing unit. In other embodiments, processing unit 1304 may also beimplemented as a quad-core processing unit formed by integrating twodual-core processors into a single chip.

In various embodiments, processing unit 1304 can execute a variety ofprograms in response to program code and can maintain multipleconcurrently executing programs or processes. At any given time, some orall of the program code to be executed can be resident in processor(s)1304 and/or in storage subsystem 1318. Through suitable programming,processor(s) 1304 can provide various functionalities described above.Computer system 1300 may additionally include a processing accelerationunit 1306, which can include a digital signal processor (DSP), aspecial-purpose processor, and/or the like.

I/O subsystem 1308 may include user interface input devices and userinterface output devices. User interface input devices may include akeyboard, pointing devices such as a mouse or trackball, a touchpad ortouch screen incorporated into a display, a scroll wheel, a click wheel,a dial, a button, a switch, a keypad, audio input devices with voicecommand recognition systems, microphones, and other types of inputdevices. User interface input devices may include, for example, motionsensing and/or gesture recognition devices such as the Microsoft Kinect®motion sensor that enables users to control and interact with an inputdevice, such as the Microsoft Xbox® 360 game controller, through anatural user interface using gestures and spoken commands. Userinterface input devices may also include eye gesture recognition devicessuch as the Google Glass® blink detector that detects eye activity(e.g., ‘blinking’ while taking pictures and/or making a menu selection)from users and transforms the eye gestures as input into an input device(e.g., Google Glass®). Additionally, user interface input devices mayinclude voice recognition sensing devices that enable users to interactwith voice recognition systems (e.g., Siri® navigator), through voicecommands.

User interface input devices may also include, without limitation, threedimensional (3D) mice, joysticks or pointing sticks, gamepads andgraphic tablets, and audio/visual devices such as speakers, digitalcameras, digital camcorders, portable media players, webcams, imagescanners, fingerprint scanners, barcode reader 3D scanners, 3D printers,laser rangefinders, and eye gaze tracking devices. Additionally, userinterface input devices may include, for example, medical imaging inputdevices such as computed tomography, magnetic resonance imaging,position emission tomography, medical ultrasonography devices. Userinterface input devices may also include, for example, audio inputdevices such as MIDI keyboards, digital musical instruments and thelike.

User interface output devices may include a display subsystem, indicatorlights, or non-visual displays such as audio output devices, etc. Thedisplay subsystem may be a cathode ray tube (CRT), a flat-panel device,such as that using a liquid crystal display (LCD) or plasma display, aprojection device, a touch screen, and the like. In general, use of theterm “output device” is intended to include all possible types ofdevices and mechanisms for outputting information from computer system1300 to a user or other computer. For example, user interface outputdevices may include, without limitation, a variety of display devicesthat visually convey text, graphics and audio/video information such asmonitors, printers, speakers, headphones, automotive navigation systems,plotters, voice output devices, and modems.

Computer system 1300 may comprise a storage subsystem 1318 thatcomprises software elements, shown as being currently located within asystem memory 1310. System memory 1310 may store program instructionsthat are loadable and executable on processing unit 1304, as well asdata generated during the execution of these programs.

Depending on the configuration and type of computer system 1300, systemmemory 1310 may be volatile (such as random access memory (RAM)) and/ornon-volatile (such as read-only memory (ROM), flash memory, etc.) TheRAM typically contains data and/or program modules that are immediatelyaccessible to and/or presently being operated and executed by processingunit 1304. In some implementations, system memory 1310 may includemultiple different types of memory, such as static random access memory(SRAM) or dynamic random access memory (DRAM). In some implementations,a basic input/output system (BIOS), containing the basic routines thathelp to transfer information between elements within computer system1300, such as during start-up, may typically be stored in the ROM. Byway of example, and not limitation, system memory 1310 also illustratesapplication programs 1312, which may include client applications, Webbrowsers, mid-tier applications, relational database management systems(RDBMS), etc., program data 1314, and an operating system 1316. By wayof example, operating system 1316 may include various versions ofMicrosoft Windows®, Apple Macintosh®, and/or Linux operating systems, avariety of commercially-available UNIX® or UNIX-like operating systems(including without limitation the variety of GNU/Linux operatingsystems, the Google Chrome® OS, and the like) and/or mobile operatingsystems such as iOS, Windows® Phone, Android® OS, BlackBerry® 10 OS, andPalm® OS operating systems.

Storage subsystem 1318 may also provide a tangible computer-readablestorage medium for storing the basic programming and data constructsthat provide the functionality of some embodiments. Software (programs,code modules, instructions) that when executed by a processor providethe functionality described above may be stored in storage subsystem1318. These software modules or instructions may be executed byprocessing unit 1304. Storage subsystem 1318 may also provide arepository for storing data used in accordance with the presentinvention.

Storage subsystem 1300 may also include a computer-readable storagemedia reader 1320 that can further be connected to computer-readablestorage media 1322. Together and, optionally, in combination with systemmemory 1310, computer-readable storage media 1322 may comprehensivelyrepresent remote, local, fixed, and/or removable storage devices plusstorage media for temporarily and/or more permanently containing,storing, transmitting, and retrieving computer-readable information.

Computer-readable storage media 1322 containing code, or portions ofcode, can also include any appropriate media known or used in the art,including storage media and communication media, such as but not limitedto, volatile and non-volatile, removable and non-removable mediaimplemented in any method or technology for storage and/or transmissionof information. This can include tangible, non-transitorycomputer-readable storage media such as RAM, ROM, electronicallyerasable programmable ROM (EEPROM), flash memory or other memorytechnology, CD-ROM, digital versatile disk (DVD), or other opticalstorage, magnetic cassettes, magnetic tape, magnetic disk storage orother magnetic storage devices, or other tangible computer readablemedia. When specified, this can also include nontangible, transitorycomputer-readable media, such as data signals, data transmissions, orany other medium which can be used to transmit the desired informationand which can be accessed by computing system 1300.

By way of example, computer-readable storage media 1322 may include ahard disk drive that reads from or writes to non-removable, nonvolatilemagnetic media, a magnetic disk drive that reads from or writes to aremovable, nonvolatile magnetic disk, and an optical disk drive thatreads from or writes to a removable, nonvolatile optical disk such as aCD ROM, DVD, and Blu-Ray® disk, or other optical media.Computer-readable storage media 1322 may include, but is not limited to,Zip® drives, flash memory cards, universal serial bus (USB) flashdrives, secure digital (SD) cards, DVD disks, digital video tape, andthe like. Computer-readable storage media 1322 may also include,solid-state drives (SSD) based on non-volatile memory such asflash-memory based SSDs, enterprise flash drives, solid state ROM, andthe like, SSDs based on volatile memory such as solid state RAM, dynamicRAM, static RAM, DRAM-based SSDs, magnetoresistive RAM (MRAM) SSDs, andhybrid SSDs that use a combination of DRAM and flash memory based SSDs.The disk drives and their associated computer-readable media may providenon-volatile storage of computer-readable instructions, data structures,program modules, and other data for computer system 1300.

Communications subsystem 1324 provides an interface to other computersystems and networks. Communications subsystem 1324 serves as aninterface for receiving data from and transmitting data to other systemsfrom computer system 1300. For example, communications subsystem 1324may enable computer system 1300 to connect to one or more devices viathe Internet. In some embodiments communications subsystem 1324 caninclude radio frequency (RF) transceiver components for accessingwireless voice and/or data networks (e.g., using cellular telephonetechnology, advanced data network technology, such as 3G, 4G or EDGE(enhanced data rates for global evolution), WiFi (IEEE 802.11 familystandards, or other mobile communication technologies, or anycombination thereof), global positioning system (GPS) receivercomponents, and/or other components. In some embodiments communicationssubsystem 1324 can provide wired network connectivity (e.g., Ethernet)in addition to or instead of a wireless interface.

In some embodiments, communications subsystem 1324 may also receiveinput communication in the form of structured and/or unstructured datafeeds 1326, event streams 1328, event updates 1330, and the like onbehalf of one or more users who may use computer system 1300.

By way of example, communications subsystem 1324 may be configured toreceive data feeds 1326 in real-time from users of social media networksand/or other communication services such as Twitter® feeds, Facebook®updates, web feeds such as Rich Site Summary (RSS) feeds, and/orreal-time updates from one or more third party information sources.

Additionally, communications subsystem 1324 may also be configured toreceive data in the form of continuous data streams, which may includeevent streams 1328 of real-time events and/or event updates 1330, thatmay be continuous or unbounded in nature with no explicit end. Examplesof applications that generate continuous data may include, for example,sensor data applications, financial tickers, network performancemeasuring tools (e.g. network monitoring and traffic managementapplications), clickstream analysis tools, automobile trafficmonitoring, and the like.

Communications subsystem 1324 may also be configured to output thestructured and/or unstructured data feeds 1326, event streams 1328,event updates 1330, and the like to one or more databases that may be incommunication with one or more streaming data source computers coupledto computer system 1300.

Computer system 1300 can be one of various types, including a handheldportable device (e.g., an iPhone® cellular phone, an iPad® computingtablet, a PDA), a wearable device (e.g., a Google Glass® head mounteddisplay), a PC, a workstation, a mainframe, a kiosk, a server rack, orany other data processing system.

Due to the ever-changing nature of computers and networks, thedescription of computer system 1300 depicted in the figure is intendedonly as a specific example. Many other configurations having more orfewer components than the system depicted in the figure are possible.For example, customized hardware might also be used and/or particularelements might be implemented in hardware, firmware, software (includingapplets), or a combination. Further, connection to other computingdevices, such as network input/output devices, may be employed. Based onthe disclosure and teachings provided herein, a person of ordinary skillin the art will appreciate other ways and/or methods to implement thevarious embodiments.

In the foregoing specification, aspects of the invention are describedwith reference to specific embodiments thereof, but those skilled in theart will recognize that the invention is not limited thereto. Variousfeatures and aspects of the above-described invention may be usedindividually or jointly. Further, embodiments can be utilized in anynumber of environments and applications beyond those described hereinwithout departing from the broader spirit and scope of thespecification. The specification and drawings are, accordingly, to beregarded as illustrative rather than restrictive.

What is claimed is:
 1. A method comprising: receiving, by a computingdevice, a request to operate an enterprise application of a plurality ofenterprise applications, wherein each of the plurality of enterpriseapplications is associated with criteria for presenting an electronicimage in the corresponding enterprise application; receiving, by thecomputing device, an original electronic image of a person to present inthe requested enterprise application; determining, by the computingdevice, an adjustment of the original electronic image for presentationin the requested enterprise application, wherein the adjustment isdetermined using criteria associated with the requested enterpriseapplication; generating, by the computing device, an adjusted electronicimage of the person to present in the requested enterprise application,wherein the adjusted electronic image is generated using the determinedadjustment; and enabling, by the computing device, presentation of theadjusted electronic image in the requested enterprise application duringoperation of the requested enterprise application.
 2. The method ofclaim 1, wherein a first enterprise application of the plurality ofenterprise applications is associated with first criteria for presentingthe original electronic image, wherein a second enterprise applicationof the plurality of enterprise applications is associated with secondcriteria for presenting the original electronic image, and wherein thesecond criteria is different from the first criteria.
 3. The method ofclaim 1, wherein the criteria for determining the adjustment includes: aframe size for presenting the adjusted electronic image in thecorresponding enterprise application, and an aspect ratio for presentingthe adjusted electronic image in the corresponding enterpriseapplication.
 4. The method of claim 3, wherein determining theadjustment includes: determining information for scaling the originalelectronic image to the adjusted electronic image based on the criteria.5. The method of claim 1, wherein the criteria for presenting theadjusted electronic image includes a type of an application.
 6. Themethod of claim 1, further comprising: identifying a portion of theoriginal electronic image, the portion including a person; and croppingthe portion from the original electronic image; wherein the adjustmentis determined using the cropped portion of the original electronicimage; and wherein the adjusted electronic image is generated using thecropped portion of the original electronic image.
 7. The method of claim6, wherein the portion is identified using one or more image classifiersor one or more object classifiers.
 8. The method of claim 6, wherein theoriginal electronic image includes a plurality of portions, each of theplurality of portions corresponding to a different one of a plurality ofpersons.
 9. The method of claim 8, further comprising: identifying eachperson in the plurality of electronic images; and determining anadjustment to adjust the original electronic image corresponding to eachidentified person for presentation in the requested enterpriseapplication, wherein the adjustment is determined based on the criteriaassociated with the requested enterprise application; and generating anadjusted electronic image corresponding to each identified person in theoriginal electronic image, wherein the adjusted electronic imagecorresponding to each identified person is generated using thedetermined adjustment corresponding to the identified person.
 10. Themethod of claim 1, wherein the original electronic image has a firstframe size and a first aspect ratio, and wherein the adjusted electronicimage has a second frame size different from the first frame size, andwherein the adjusted electronic image has a second aspect ratiodifferent from the first aspect ratio.
 11. The method of claim 1,further comprising: identifying a first portion of the originalelectronic image, the first portion corresponding to a first person, whois the person; identifying a second portion of the original electronicimage, the second portion corresponding to a second person; whereindetermining the adjustment of the original electronic image includes:determining, using the criteria associated with the requested enterpriseapplication, a first adjustment of the original electronic image forpresentation of the first portion in the requested enterpriseapplication, wherein the adjusted electronic image is a first adjustedelectronic image that is generated using the first adjustment; anddetermining, using the criteria associated with the requested enterpriseapplication, a second adjustment of the original electronic image forpresentation of the second portion in the requested enterpriseapplication; generating, by the computing device, a second adjustedelectronic image of the second person to present in the requestedenterprise application, wherein the second adjusted electronic image isgenerated using the second adjustment; and enabling, by the computingdevice, presentation of the second adjusted electronic image in therequested enterprise application during operation of the requestedenterprise application.
 12. A system, comprising: one or moreprocessors; and one or more memory devices coupled with and readable bythe one or more processors and storing therein a set of instructionswhich, when executed by the one or more processors, cause the one ormore processors to perform a method comprising: receiving a request tooperate an enterprise application of a plurality of enterpriseapplications, wherein each of the plurality of enterprise applicationsis associated with criteria for presenting an electronic image in thecorresponding enterprise application; receiving an original electronicimage of a person to present in the requested enterprise application;determining an adjustment of the original electronic image forpresentation in the requested enterprise application, wherein theadjustment is determined using criteria associated with the requestedenterprise application; generating an adjusted electronic image of theperson to present in the requested enterprise application, wherein theadjusted electronic image is generated using the determined adjustment;and enabling presentation of the adjusted electronic image in therequested enterprise application during operation of the requestedenterprise application.
 13. The system of claim 12, wherein the one ormore processors and the one or more memory devices are included in aserver computer, and wherein enabling operation of the requestenterprise application includes sending the adjusted electronic image toa computing device for presentation in the requested enterpriseapplication.
 14. The system of claim 12, wherein a first enterpriseapplication of the plurality of enterprise applications is associatedwith first criteria for presenting the original electronic image,wherein a second enterprise application of the plurality of enterpriseapplications is associated with second criteria for presenting theoriginal electronic image, and wherein the second criteria is differentfrom the first criteria.
 15. The system of claim 12, wherein thecriteria for determining the adjustment includes: a frame size forpresenting the adjusted electronic image in the corresponding enterpriseapplication, and an aspect ratio for presenting the adjusted electronicimage in the corresponding enterprise application.
 16. The system ofclaim 12, wherein the method further comprises: identifying a portion ofthe original electronic image, the portion including a person; andcropping the portion from the original electronic image; wherein theadjustment is determined using the cropped portion of the originalelectronic image; and wherein the adjusted electronic image is generatedusing the cropped portion of the original electronic image.
 17. Thesystem of claim 12, wherein the method further comprises: identifyingeach person in a plurality of portions in the original electronic image,wherein each of the plurality of portions corresponds to a different oneof a plurality of persons; determining an adjustment to adjust theoriginal electronic image corresponding to each identified person forpresentation in the requested enterprise application, wherein theadjustment is determined based on the criteria associated with therequested enterprise application; and generating an adjusted electronicimage corresponding to each identified person in the original electronicimage, wherein the adjusted electronic image corresponding to eachidentified person is generated using the determined adjustmentcorresponding to the identified person.
 18. A computer-readable memorycomprising a set of instructions stored thereon which, when executed bya processor, cause the processor to perform a method comprising:receiving, by a computing device, a request to operate an enterpriseapplication of a plurality of enterprise applications, wherein each ofthe plurality of enterprise applications is associated with criteria forpresenting an electronic image in the corresponding enterpriseapplication; receiving, by the computing device, an original electronicimage of a person to present in the requested enterprise application;determining, by the computing device, an adjustment of the originalelectronic image for presentation in the requested enterpriseapplication, wherein the adjustment is determined using criteriaassociated with the requested enterprise application; generating, by thecomputing device, an adjusted electronic image of the person to presentin the requested enterprise application, wherein the adjusted electronicimage is generated using the determined adjustment; and enabling, by thecomputing device, presentation of the adjusted electronic image in therequested enterprise application during operation of the requestedenterprise application.
 19. The computer-readable memory of claim 18,wherein a first enterprise application of the plurality of enterpriseapplications is associated with first criteria for presenting theoriginal electronic image, wherein a second enterprise application ofthe plurality of enterprise applications is associated with secondcriteria for presenting the original electronic image, and wherein thesecond criteria is different from the first criteria.
 20. Thecomputer-readable memory of claim 18, wherein the method furthercomprises: identifying a portion of the original electronic image, theportion including a person; and cropping the portion from the originalelectronic image; wherein the adjustment is determined using the croppedportion of the original electronic image; and wherein the adjustedelectronic image is generated using the cropped portion of the originalelectronic image.